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Получаемые навыки

Logistic Regression, Artificial Neural Network, Machine Learning (ML) Algorithms, Machine Learning

Рецензии

4.9 (оценок: 144,097)
  • 5 stars
    92.51%
  • 4 stars
    6.87%
  • 3 stars
    0.44%
  • 2 stars
    0.07%
  • 1 star
    0.09%
SK

Oct 26, 2017

Amazing course for people looking to understand few important aspects of machine learning in terms of linear algebra and how the algorithms work! Definitely will help me in my future modelling efforts

MN

Oct 31, 2017

Great overview, enough details to have a good understanding of why the techniques work well. Especially appreciated the practical advice regarding debugging, algorithm evaluation and ceiling analysis.

Из урока
Unsupervised Learning
We use unsupervised learning to build models that help us understand our data better. We discuss the k-Means algorithm for clustering that enable us to learn groupings of unlabeled data points.

Преподаватели

  • Andrew Ng

    Andrew Ng

    CEO/Founder Landing AI; Co-founder, Coursera; Adjunct Professor, Stanford University; formerly Chief Scientist,Baidu and founding lead of Google Brain

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